Instructions to use StockCast/seperate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use StockCast/seperate with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://StockCast/seperate") - Notebooks
- Google Colab
- Kaggle
Download models/AFCAGRO/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 398 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/AFCAGRO/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/AFCAGRO/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/AFCAGRO/forecast_next_30.csv
398 Bytes
| step_ahead,prediction | |
| 1,12.304115 | |
| 2,11.057385 | |
| 3,11.347438 | |
| 4,12.335132 | |
| 5,8.894506 | |
| 6,13.213165 | |
| 7,10.186584 | |
| 8,12.418999 | |
| 9,12.977906 | |
| 10,11.19401 | |
| 11,10.911822 | |
| 12,13.2033825 | |
| 13,11.980364 | |
| 14,10.507192 | |
| 15,11.265426 | |
| 16,11.757494 | |
| 17,12.202716 | |
| 18,10.34092 | |
| 19,12.249198 | |
| 20,10.43053 | |
| 21,13.549735 | |
| 22,12.187191 | |
| 23,9.46912 | |
| 24,10.146126 | |
| 25,10.8917885 | |
| 26,9.846185 | |
| 27,12.337298 | |
| 28,10.501374 | |
| 29,10.864457 | |
| 30,11.466694 | |